Literature DB >> 27239087

An Open Library of CT Patient Projection Data.

Baiyu Chen1, Shuai Leng1, Lifeng Yu1, David Holmes2, Joel Fletcher1, Cynthia McCollough1.   

Abstract

Lack of access to projection data from patient CT scans is a major limitation for development and validation of new reconstruction algorithms. To meet this critical need, we are building a library of CT patient projection data in an open and vendor-neutral format, DICOM-CT-PD, which is an extended DICOM format that contains sinogram data, acquisition geometry, patient information, and pathology identification. The library consists of scans of various types, including head scans, chest scans, abdomen scans, electrocardiogram (ECG)-gated scans, and dual-energy scans. For each scan, three types of data are provided, including DICOM-CT-PD projection data at various dose levels, reconstructed CT images, and a free-form text file. Several instructional documents are provided to help the users extract information from DICOM-CT-PD files, including a dictionary file for the DICOM-CT-PD format, a DICOM-CT-PD reader, and a user manual. Radiologist detection performance based on the reconstructed CT images is also provided. So far 328 head cases, 228 chest cases, and 228 abdomen cases have been collected for potential inclusion. The final library will include a selection of 50 head, chest, and abdomen scans each from at least two different manufacturers, and a few ECG-gated scans and dual-source, dual-energy scans. It will be freely available to academic researchers, and is expected to greatly facilitate the development and validation of CT reconstruction algorithms.

Entities:  

Keywords:  Computed tomography (CT); DICOM-CT-PD; patient data library; projection data; reconstruction

Year:  2016        PMID: 27239087      PMCID: PMC4881843          DOI: 10.1117/12.2216823

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  2 in total

1.  Technical Note: Development and validation of an open data format for CT projection data.

Authors:  Baiyu Chen; Xinhui Duan; Zhicong Yu; Shuai Leng; Lifeng Yu; Cynthia McCollough
Journal:  Med Phys       Date:  2015-12       Impact factor: 4.071

2.  Development and validation of a practical lower-dose-simulation tool for optimizing computed tomography scan protocols.

Authors:  Lifeng Yu; Maria Shiung; Dayna Jondal; Cynthia H McCollough
Journal:  J Comput Assist Tomogr       Date:  2012 Jul-Aug       Impact factor: 1.826

  2 in total
  4 in total

1.  Technical Note: Insertion of digital lesions in the projection domain for dual-source, dual-energy CT.

Authors:  Andrea Ferrero; Baiyu Chen; Zhoubo Li; Lifeng Yu; Cynthia McCollough
Journal:  Med Phys       Date:  2017-04-17       Impact factor: 4.071

2.  SparseCT: System concept and design of multislit collimators.

Authors:  Baiyu Chen; Erich Kobler; Matthew J Muckley; Aaron D Sodickson; Thomas O'Donnell; Thomas Flohr; Bernhard Schmidt; Daniel K Sodickson; Ricardo Otazo
Journal:  Med Phys       Date:  2019-05-06       Impact factor: 4.071

3.  Low-dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 Low Dose CT Grand Challenge.

Authors:  Cynthia H McCollough; Adam C Bartley; Rickey E Carter; Baiyu Chen; Tammy A Drees; Phillip Edwards; David R Holmes; Alice E Huang; Farhana Khan; Shuai Leng; Kyle L McMillan; Gregory J Michalak; Kristina M Nunez; Lifeng Yu; Joel G Fletcher
Journal:  Med Phys       Date:  2017-10       Impact factor: 4.071

Review 4.  From papyrus leaves to bioprinting and virtual reality: history and innovation in anatomy.

Authors:  Bharti Bisht; Ashley Hope; Manash K Paul
Journal:  Anat Cell Biol       Date:  2019-08-26
  4 in total

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